MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4717
Single Precision Score
29802
Half Precision Score
32448
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | abudooboo |
| Upload Date | January 02 2026 09:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1484
276.1 IPS |
|
|
Image Classification (HP)
|
100% |
15735
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
16467
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22282
361.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27778
450.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15830
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
119634
139.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
118400
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
16724
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
16890
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
38103
452.7 IPS |
|
|
Face Detection (Q)
|
100% |
49593
589.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7139
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99600
767.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
113552
887.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31107
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
218375
280.7 IPS |
|
|
Style Transfer (Q)
|
96% |
206611
266.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5588
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37407
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43534
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
5023
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5037
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4669
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5061
87.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5545
95.8 IPS |
